Visual Knowledge Discovery and Machine Learning

✍ Scribed by Boris Kovalerchuk (auth.)

Publisher: Springer International Publishing
Year: 2018
Tongue: English
Leaves: 332
Series: Intelligent Systems Reference Library 144
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.

✦ Table of Contents

Front Matter ....Pages i-xxi
Motivation, Problems and Approach (Boris Kovalerchuk)....Pages 1-14
General Line Coordinates (GLC) (Boris Kovalerchuk)....Pages 15-47
Theoretical and Mathematical Basis of GLC (Boris Kovalerchuk)....Pages 49-76
Adjustable GLCs for Decreasing Occlusion and Pattern Simplification (Boris Kovalerchuk)....Pages 77-99
GLC Case Studies (Boris Kovalerchuk)....Pages 101-140
Discovering Visual Features and Shape Perception Capabilities in GLC (Boris Kovalerchuk)....Pages 141-171
Interactive Visual Classification, Clustering and Dimension Reduction with GLC-L (Boris Kovalerchuk)....Pages 173-216
Knowledge Discovery and Machine Learning for Investment Strategy with CPC (Boris Kovalerchuk)....Pages 217-248
Visual Text Mining: Discovery of Incongruity in Humor Modeling (Boris Kovalerchuk)....Pages 249-263
Enhancing Evaluation of Machine Learning Algorithms with Visual Means (Boris Kovalerchuk)....Pages 265-276
Pareto Front and General Line Coordinates (Boris Kovalerchuk)....Pages 277-287
Toward Virtual Data Scientist and Super-Intelligence with Visual Means (Boris Kovalerchuk)....Pages 289-306
Comparison and Fusion of Methods and Future Research (Boris Kovalerchuk)....Pages 307-317

✦ Subjects

Computational Intelligence

📜 SIMILAR VOLUMES

Visual Knowledge Discovery and Machine L

📁 Visual Knowledge Discovery and Machine Learning

✍ Boris Kovalerchuk 📂 Library 📅 2018 🏛 Springer 🌐 English

Visual Knowledge Discovery and Machine L

📁 Visual Knowledge Discovery and Machine Learning

✍ Kovalerchuk, Boris 📂 Library 📅 2018 🏛 Springer International Publishing 🌐 English

3.3 Fixed Single Point Approach3.3.1 Single Point Algorithm; 3.3.2 Statements Based on Single Point Algorithm; 3.3.3 Generalization of a Fixed Point to GLC; 3.4 Theoretical Limits to Preserve n-D Distances in 2-D: Johnson-Lindenstrauss Lemma; 3.5 Visual Representation of n-D Relations in GLC; 3.5.1

Visual Knowledge Discovery and Machine L

📁 Visual Knowledge Discovery and Machine Learning

✍ Kovalerchuk, Boris 📂 Library 📅 2018 🏛 Springer International Publishing 🌐 English

Data Analysis, Machine Learning and Know

📁 Data Analysis, Machine Learning and Knowledge Discovery

✍ Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning 📂 Library 📅 2013 🏛 Springer 🌐 English

Focus on the commonalities concerning data analysis in computer science and in statistics Emphasis on both methods (statistical analysis and machine learning) and applications (marketing, finance, bioinformatics, musicology, psychology) Presentation of general methods and techniques that can be ap

Data Analysis, Machine Learning and Know

📁 Data Analysis, Machine Learning and Knowledge Discovery

✍ Udo Bankhofer, Dieter William Joenssen (auth.), Myra Spiliopoulou, Lars Schmidt- 📂 Library 📅 2014 🏛 Springer International Publishing 🌐 English

<p>Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketi

Machine learning and knowledge discovery

📁 Machine learning and knowledge discovery for engineering systems health management

✍ Ashok N Srivastava; Jiawei Han 📂 Library 📅 2011 🏛 Chapman & Hall/CRC 🌐 English